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Search Results: 1 - 10 of 825 matches for " Rituparna Bose "
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Hazards of arsenic poisoning
Rituparna Bose, Subho Mozumdar and Arnab De
GERF Bulletin of Biosciences , 2011,
Abstract: Arsenic contamination has lead to drinking water quality degradation across many geographic regions and is now a global socio-economic menace. The major countries affected by arsenic contamination are Argentina, Australia, Bangladesh, Canada, Chile, China, Greece, Hungary, India, Japan, Mexico, Mongolia, New Zealand, South Africa, Philippines, Taiwan, Thailand, USA and USSR. This mini review discusses the cause and effect of chronic arsenic poisoning along with the recent technologies involved in removal of arsenic from contaminated drinking water. For the sheer pervasiveness and abject mortality caused by the contamination in Bangladesh, we focus on it treating as an example typical of many places around the world. While a multitude of geological features play a big role in determining the extent of arsenic levels in ground water, we also seek to reinforce the history of inactions on the part of various institutions in tackling the problem. This has worsened the sufferings of the affected populations.
Forecasting Density Function: Application in Finance  [PDF]
Rituparna Sen, Changie Ma
Journal of Mathematical Finance (JMF) , 2015, DOI: 10.4236/jmf.2015.55037
Abstract:

With increasing availability of data, in many situations it is now possible to reasonably estimate the probability density function (pdf) of a random variable. This is far more informative than using a few summary statistics like mean or variance. In this paper, we propose a method of forecasting the density function based on a time series of estimated density functions. The proposed method uses kernel estimation to pre-process the raw data followed by dimension reduction using functional principal components analysis (FPCA). Then we fit Vector ARMA models to the reduced data to make a prediction of the principal component scores, which can then be used to obtain the forecast for density function. We need to transform and scale the forecasts to ensure non-negativeness and integration to one. We compared our method to [1] for histogram forecasts, on simulated data as well as real data from S&P 500 and the Bombay Stock Exchange. The results showed that our method performed better on both the datasets and the simulation using uniform and Hilbert distance. The time dependence and complexity of density function are different for the two markets, which is captured by our analysis.

Criminal Law (Amendment) Act, 2013: Will it ensure women’s safety in public spaces?
Rituparna Bhattacharyya
Space and Culture, India , 2013,
Abstract: The horrific gang-rape and the subsequent murder of Nirbyaya (fearless) in December 2012, impelled the Government of India to pass the Criminal Law (Amendment) Act, 2013. The key aim of this article is to review this Act in the light of women’s safety in public spaces.
Tribute to Nirbhaya (Fearless)
Rituparna Bhattacharyya
Space and Culture, India , 2013,
Abstract: We are happy to launch the first issue of the Journal Space and Culture, India. This first issue is a tribute to Nirbhaya (Fearless), who was brutally gang-raped and left in a ‘vegetative state’ to die, who subsequently succumbed to her injuries on December 29, 2012. Alongside, we also pay our last respect to Chief Justice Jagdish Charan Verma (January 18, 1933 – April 22, 2013), who headed the government-appointed panel, Justice Verma Committee that came out with the recommendations on enhancing women’s safety and security. The journal is very grateful to all the members of the editorial board for their strong commitment and support. We also thank the contributors of the first issue. We are committed to encourage young scholars and researchers to submit their theoretically informed original research, commentaries and reviews on any social issues of India and make an impact to the society. We understand that your research is very important to you - we guarantee global distribution accessible universally on-line and without any charge. We are in the process of obtaining International Standard Serial Number (ISSN) from ISSN UK centre, British Library. The journal will also be registered with the official Open Archives registry, UIUC OAI registry, Social Science Research Network (SSRN) and OAIster so that the articles are indexed within a globally distributed system of research databases. The journal will also contribute to certain Libraries participating in the LOCKSS (Lots of Copies Keep Stuff Safe) system to ensure a secure and permanent archive for the journal. In addition, content of the journal will be indexed by Google Scholar and other search engines and also will be registered with Index Copernicus and other indexing system. Looking forward to your valuable contributions! Happy reading! Thank you, Executive Editor, Space and Culture, India
Publication Watch
Rituparna Bhattacharyya
Space and Culture, India , 2013,
Abstract: In the journal Space and Culture, India, we endeavour to scan and highlight latest India-related publications and resources on developmental issues from around the world, which we consider to be useful to the scholars.
A Mirage or a Rural Life Line? Analysing the impact of Mahatma Gandhi Rural Employment Guarantee Act on Women Beneficiaries of Assam
Rituparna Bhattacharyya,Polly Vauquline
Space and Culture, India , 2013,
Abstract: The National Rural Employment Guarantee Act (NREGA), launched in February 2006 was renamed in October 02, 2009 as the Mahatma Gandhi National Rural Employment Guarantee Act (henceforth, MGNREGA). It is an anti-poverty flagship programme of the Government of India. The key purpose of MGNREGA is to enhance wage employment in the rural areas by providing at least 100 days of guaranteed employment to every household in a financial year. The MGNREGA implementation status report for the financial year 2012-2013 unfolds that the programme has already provided employment to 44.9 million households across 28 districts and five union territories. Hence, it is becoming increasingly difficult to ignore the impact of MGNREGA on women beneficiaries. A plethora of research argues that MGNREGA, which promotes inclusive growth, is a vehicle of change, a lifeline for rural women. So far, however, there has been very little discussion about the impact of MGNREGA on women beneficiaries of Assam. This research is an attempt to examine the participation of women in MGNREGA, Assam. It critically looks at the issues, problems and challenges confronted by the women while working at MGNREGA. Written from a feminist perspective on gender, poverty and women’s empowerment, the research seeks to address the problems of the women beneficiaries through their lived experiences. For this, we conducted in-depth interviews with the women beneficiaries in the months of August and September, 2009 in four remote areas namely, Burka, Chandrapur, Barbhang and Muguriya, the first two situated in Kamrup, while the third and the fourth in Barpeta districts of Assam, where the programme of MGNREGA is on-going. The findings of the research suggest measures so that the programme can be made more effective in the long run.
Atherosclerosis in diabetes mellitus: Role of inflammation
Maiti Rituparna,Agrawal Neeraj
Indian Journal of Medical Sciences , 2007,
Abstract: Inflammation plays a central role in the pathophysiology of atherosclerosis, starting from initiation, through progression, and ultimately the thrombotic complications of atherosclerosis. Diabetes mellitus is a major risk factor for atherosclerosis. Hyperglycemia-induced endothelial dysfunctions, along with hypercoagulable potential of diabetes mellitus, accelerate the process of atherothrombotic complications. Therefore, clinically feasible markers to monitor subtle systemic inflammatory burden and specific add-on therapy for the same constitute need of the present day. The understanding of the concept of inflammation in diabetes-accelerated atherosclerosis can be used practically to predict future cardiovascular risk by evaluating inflammatory biomarkers and to design clinical trials making inflammation as a therapeutic target.
Application of Data Mining in Protein Sequence Classification
Suprativ Saha,Rituparna Chaki
International Journal of Database Management Systems , 2012,
Abstract: Protein sequence classification involves feature selection for accurate classification. Popular protein sequence classification techniques involve extraction of specific features from the sequences. Researchers apply some well-known classification techniques like neural networks, Genetic algorithm, Fuzzy ARTMAP,Rough Set Classifier etc for accurate classification. This paper presents a review is with three different classification models such as neural network model, fuzzy ARTMAP model and Rough set classifier model.This is followed by a new technique for classifying protein sequences. The proposed model is typicallyimplemented with an own designed tool and tries to reduce the computational overheads encountered by earlier approaches and increase the accuracy of classification.
Lightweight Hierarchical Model for HWSNET
Tapalina Bhattasali,Rituparna Chaki
Computer Science , 2011, DOI: 10.5121/ijassn.2011.1202
Abstract: Heterogeneous wireless sensor networks (HWSNET) are more suitable for real life applications as compared to the homogeneous counterpart. Security of HWSNET becomes a very important issue with the rapid development of HWSNET. Intrusion detection system is one of the major and efficient defensive methods against attacks in HWSNET. Because of different constraints of sensor networks, security solutions have to be designed with limited usage of computation and resources. A particularly devastating attack is the sleep deprivation attack. Here a malicious node forces legitimate nodes to waste their energy by resisting the sensor nodes from going into low power sleep mode. The target of this attack is to maximize the power consumption of the affected node, thereby decreasing its battery life. Existing works on sleep deprivation attack have mainly focused on mitigation using MAC based protocols, such as S-MAC (sensor MAC), T-MAC (timeout MAC), B-MAC (Berkley MAC), G-MAC (gateway MAC). In this article, a brief review of some of the recent intrusion detection systems in wireless sensor network environment is presented. Finally, a framework of cluster based layered countermeasure for Insomnia Detection has been proposed for heterogeneous wireless sensor network (HWSNET) to efficiently detect sleep deprivation attack. Simulation results on MATLAB exhibit the effectiveness of the proposed model.
AMC Model for Denial of Sleep Attack Detection
Tapalina Bhattasali,Rituparna Chaki
Computer Science , 2012,
Abstract: Due to deployment in hostile environment, wireless sensor network is vulnerable to various attacks. Exhausted sensor nodes in sensor network become a challenging issue because it disrupts the normal connectivity of the network. Affected nodes give rise to denial of service that resists to get the objective of sensor network in real life. A mathematical model based on Absorbing Markov Chain (AMC)is proposed for Denial of Sleep attack detection in sensor network. In this mechanism, whether sensor network is affected by denial of sleep attack or not can be decided by considering expected death time of sensor network under normal scenario.
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